Here’s the difference between Great Expectations and Deepnote. The comparison is based on pricing, deployment, business model, and other important factors.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
Deepnote provides programming notebooks for developers. The product offers variables & plots, code intelligence, real-time collaboration. It also provides integration with GitHub and GitLab, Amazon S3, MongoDB, GCS buckets, PostgreSQL connections. It offers a data science book that provides deployment. Also, it enables to review of project work, visualizes data, and offers intelligent completion solutions.
|Categories||Data Quality Monitoring||Data Workspace/ Collaboration|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size||Mid size, Enterprise|
|Business Model||Open Source||Commercial|
|Pricing||Freemium||Freemium, Contact Sales|
|Location||California, US||San Francisco, California|
|Companies using it|